GEOMETRICALLY INVARIANT WATERMARKING BASED ON NONLINEAR ANISOTROPIC DIFFUSION

摘要：

　　A novel geometrically invariant watermarking scheme based on nonlinear anisotropic diffusion (NAD) detector of the feature points in images is proposed.The NAD feature points detector performs feature points detecting more accurately than Harris detector in an image,which correspondingly can definitely enhance the robustness and the imperceptibility of the watermarking scheme.According to the feature points detected by the NAD detector in watermarking carrier image,Delaunay tessellation method is used to segment the watermarking carrier image into a set of arbitrary shape disjoint triangles.After figuring out noise visibility function (NVF),an adaptive watermarking scheme is proposed based on Human Visual System (HVS).By using this scheme,a right-angled isosceles watermarking image,after being mapped,is embedded into the triangles of the carrier image,which is obtained using the Delannay tessellation method.In this scheme,the embedding intensity is also well controlled by an adaptive parameter whichwill vary with the different texture of the carrier image.

关键词： Digital watermarking nonlinear anisotropic diffusion detector delaunay tessellation

作者: ZHENG-WEI SHEN JI-TAO WU

作者单位: School of Mathematics, Beihang University, Beijing 100083, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 126-131

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）